Smart Helmet

According to the investigation in India, nearly 25% of the road accidents are caused by two wheelers. The foremost causes for the fatalities are due to drunken driving, rash driving, and drowsiness due to long drive. The rapid increase in road accidents involving two-wheeler riders has become a major public safety concern, emphasizing the need for intelligent and proactive safety solutions. The aim of this work is to build an interesting and efficient Smart Helmet system that protects riders from accidents and also helps in identifying accidentprone situations. This paper presents an IoT-based Smart Helmet system aimed at enhancing rider safety through real-time monitoring and rapid emergency response. The proposed system integrates multiple sensors including an accident detection sensor, alcohol detection sensor, GPS module, and GSM communication unit to continuously monitor the rider’s condition and riding environment. The system detects abnormal behavior such as sudden impact or collision and checks for alcohol consumption before and during vehicle operation. In the event of an accident, the Smart Helmet automatically transmits real-time alerts along with precise location details to pre-registered emergency contacts and relevant authorities using GSM connectivity, ensuring timelymedical assistance. The helmet is designed to be lightweight, user-friendly, and easily adaptable to conventional helmets without compromising rider comfort. By combining accident prevention mechanisms with automated emergency notification, the proposed Smart Helmet provides an effective, low-cost, and scalable solution to reduce accident severity and fatalities among two-wheeler riders and demonstrates the potential of IoT technology in improving road safety and saving lives.